{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'jsonx'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-e323b487eb66>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m# %matplotlib inline\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mjsonx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mPIL\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mio\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mBytesIO\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'jsonx'"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import jsonx\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "# if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "#     subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "# else:\n",
    "#     print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "#     sys.exit()\n",
    "\n",
    "endpoint = \"https://ldq-vision.cognitiveservices.azure.com/\"\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "subscription_key = \"849984bbac044e2997cc8b1fad82afbb\"\n",
    "\n",
    "# base url\n",
    "analyze_url = endpoint+ \"vision/v2.1/analyze\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1603534490656&di=e36b6b59cac452dc15837ea86aeced1f&imgtype=0&src=http%3A%2F%2Fpic3.zhimg.com%2F50%2Fv2-66c2c02fdcf4f6275a31bcddb179f9d4_hd.jpg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
    "# 参数\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "# 请求主体body\n",
    "data = {'url': image_url}\n",
    "response = requests.post(analyze_url, headers=headers,\n",
    "                         params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The most\n",
    "# relevant caption for the image is obtained from the 'description' property.\n",
    "analysis = response.json()\n",
    "print(json.dumps(response.json()))\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(requests.get(image_url).content))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'analyze_url' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-aaff7758739a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0mparams\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'visualFeatures'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'Categories,Description,Color'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m response = requests.post(\n\u001b[0;32m---> 30\u001b[0;31m     analyze_url, headers=headers, params=params, data=image_data)\n\u001b[0m\u001b[1;32m     31\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'analyze_url' is not defined"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "# if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "#     subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "# else:\n",
    "#     print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "#     sys.exit()\n",
    "\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "# analyze_url = endpoint + \"vision/v2.1/analyze\"\n",
    "\n",
    "# Set image_path to the local path of an image that you want to analyze.\n",
    "image_path = \"OIP.jpg\"\n",
    "# Read the image into a byte array\n",
    "image_data = open(image_path, \"rb\").read()\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"dd748cf10bf9404399e5416d9399e218\",\n",
    "           'Content-Type': 'application/octet-stream'}\n",
    "params = {'visualFeatures': 'Categories,Description,Color'}\n",
    "response = requests.post(\n",
    "    analyze_url, headers=headers, params=params, data=image_data)\n",
    "response.raise_for_status()\n",
    "\n",
    "# The 'analysis' object contains various fields that describe the image. The most\n",
    "# relevant caption for the image is obtained from the 'description' property.\n",
    "analysis = response.json()\n",
    "print(analysis)\n",
    "image_caption = analysis[\"description\"][\"captions\"][0][\"text\"].capitalize()\n",
    "\n",
    "# Display the image and overlay it with the caption.\n",
    "image = Image.open(BytesIO(image_data))\n",
    "plt.imshow(image)\n",
    "plt.axis(\"off\")\n",
    "_ = plt.title(image_caption, size=\"x-large\", y=-0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thumbnail is 100-by-100\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import requests\n",
    "# If you are using a Jupyter notebook, uncomment the following line.\n",
    "# %matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "\n",
    "# Add your Computer Vision subscription key and endpoint to your environment variables.\n",
    "# if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:\n",
    "#     subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']\n",
    "# else:\n",
    "#     print(\"\\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\\n**Restart your shell or IDE for changes to take effect.**\")\n",
    "#     sys.exit()\n",
    "\n",
    "# if 'COMPUTER_VISION_ENDPOINT' in os.environ:\n",
    "#     endpoint = os.environ['COMPUTER_VISION_ENDPOINT']\n",
    "\n",
    "thumbnail_url = \"https://api-computervvsion-cyl.cognitiveservices.azure.com/\" + \"vision/v2.1/generateThumbnail\"\n",
    "\n",
    "# Set image_url to the URL of an image that you want to analyze.\n",
    "image_url = \"https://upload.wikimedia.org/wikipedia/commons/9/94/Bloodhound_Puppy.jpg\"\n",
    "\n",
    "headers = {'Ocp-Apim-Subscription-Key': \"dd748cf10bf9404399e5416d9399e218\"}\n",
    "params = {'width': '100', 'height': '100', 'smartCropping': 'true'}\n",
    "data = {'url': image_url}\n",
    "response = requests.post(thumbnail_url, headers=headers,\n",
    "                         params=params, json=data)\n",
    "response.raise_for_status()\n",
    "\n",
    "thumbnail = Image.open(BytesIO(response.content))\n",
    "\n",
    "# Display the thumbnail.\n",
    "plt.imshow(thumbnail)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "# Verify the thumbnail size.\n",
    "print(\"Thumbnail is {0}-by-{1}\".format(*thumbnail.size))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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